AI Enablement Framework
We support clients AI adoption across four connected capability areas that together provide a practical path from opportunity identification to
sustainable business adoption.
Clients may engage us across the full framework or in targeted areas
depending on their priorities and stage of
maturity.
- Identify and Prioritise: AI Process Assessment, Use Case Classification & ROI Prioritisation Assessing suitable opportunities, classifying use cases and prioritising value.
- Validate and Assure: AI Validation & Assurance Testing whether AI solutions are reliable, bounded and fit for production use.
- Govern and Control: AI Governance, SOPs & Control Frameworks Establishing the governance, procedures and controls required for responsible adoption.
- Embed and Adopt: AI Change & Adoption Supporting the workflow, role and stakeholder changes needed to embed AI into operations.
AI Strategy, Assessment and Prioritisation
- Identify and frame practical AI opportunities across front, middle and back office functions
- Assess process suitability, operational readiness and business value
- Distinguish between AI, automation and broader process redesign
- Prioritise use cases based on ROI, complexity, control requirements and implementation feasibility
- Develop sequenced roadmaps that support scalable adoption
AI Governance, SOPs & Control Frameworks
- Standardise SOPs, decision logic and process documentation
- Define governance models, control ownership and accountability structures
- Establish audit trails, evidence requirements and approval pathways
- Support proportionate guardrails based on use case risk and criticality
- Align AI-enabled processes to broader operational resilience and control expectations
AI Validation & Assurance
- Define validation objectives, acceptance criteria and production readiness requirements
- Test AI outputs across standard scenarios, edge cases and exception pathways
- Assess human oversight requirements, escalation points and fallback processes
- Support confidence in AI-enabled workflows through structured testing and revalidation
- Help businesses move from pilots to controlled operational use
AI Change & Adoption
- Support the transition from manual execution to human oversight of AI-enabled workflows
- Redesign roles, responsibilities and exception handling models
- Align business, risk, operations and technology stakeholders
- Develop training, communications and readiness activities to support adoption
- Embed AI into the operating model rather than beside it
Why Businesses Choose Integrated Advisory
- Deep understanding of investment operations across front, middle and back office functions
- Practical experience supporting large-scale business and operating model change
- Strong capability in process assessment, SOP design, testing and control frameworks
- Balanced perspective on where AI adds value - and where it does not
- Business-led approach that connects strategy, governance, adoption and execution
- Ability to work alongside internal teams, technology providers and delivery partners
Client Impact
Our AI Enablement capability helps businesses to:
- identify and prioritise AI opportunities with clearer commercial value
- improve process clarity, control visibility and operating model readiness
- strengthen governance, auditability and confidence in AI-enabled workflows
- support smoother business adoption through structured change and oversight
- reduce the risk of fragmented pilots and poorly controlled implementation
- create a practical path from AI experimentation to measurable operational outcomes

Integrated Advisory is uniquely position to help organisations move from isolated AI experimentation to practical, governed and scalable adoption.
Contact us to discuss how we can tailor our approach to your specific needs.

